Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets
Summary: Datamaran automatically extracts structure from semi-structured log data, identifying endpoints and filtering noise. It discovers structures without boundaries, achieving 95% extraction accuracy on GitHub logs, ~66% higher than unsupervised schemes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yihan Gao (University of Illinois Urbana-Champaign)
- 2. Silu Huang (University of Illinois Urbana-Champaign)
- 3. Aditya Parameswaran (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{gao_sigmod18,
title = {{Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets}},
author = {Gao, Yihan and Huang, Silu and Parameswaran, Aditya},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183746},
url = {https://dl.acm.org/doi/10.1145/3183713.3183746},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 749 | Data Lake Management: Challenges and Opportunities | 2019 | VLDB | 0.00014379989 |
| 2,744 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 8.1781662e-05 |
| 4,502 | AS-Parser: Log Parsing Based on Adaptive Segmentation | 2023 | SIGMOD | 6.6599757e-05 |
| 4,990 | Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V | 2023 | VLDB | 6.4105738e-05 |
| 5,403 | Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples | 2023 | VLDB | 6.2306083e-05 |
| 8,000 | PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage | 2020 | VLDB | 5.5092344e-05 |
| 10,414 | Visual Template Inference for Data Extraction from Documents | 2026 | SIGMOD | 5.093636e-05 |
| 11,886 | Enabling Data Science for the Majority | 2019 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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